Cargando…
AEGS: identifying aberrantly expressed gene sets for differential variability analysis
MOTIVATION: In gene expression studies, differential expression (DE) analysis has been widely used to identify genes with shifted expression mean between groups. Recently, differential variability (DV) analysis has been increasingly applied as analyzing changed expression variability (e.g. the chang...
Autores principales: | Guan, Jinting, Chen, Moliang, Ye, Congting, Cai, James J, Ji, Guoli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192207/ https://www.ncbi.nlm.nih.gov/pubmed/29040376 http://dx.doi.org/10.1093/bioinformatics/btx646 |
Ejemplares similares
-
Modeling of Genome-Wide Polyadenylation Signals in Xenopus tropicalis
por: Zhu, Sheng, et al.
Publicado: (2019) -
DCGL: an R package for identifying differentially coexpressed genes and links from gene expression microarray data
por: Liu, Bao-Hong, et al.
Publicado: (2010) -
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes
por: Zhang, Junjie, et al.
Publicado: (2023) -
diffloop: a computational framework for identifying and analyzing differential DNA loops from sequencing data
por: Lareau, Caleb A, et al.
Publicado: (2018) -
Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder
por: Guan, Jinting, et al.
Publicado: (2019)